Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Method of Superposition

Method of Superposition

The method of superposition is a crucial technique in structural engineering, used to analyze the effect of multiple loads on beams. This approach involves calculating the deflection and slope for each load on a beam separately, and then summing these effects to determine the overall impact. It is applicable only when the beam material remains within its elastic limit, ensuring that deformations are linearly elastic.
When applying the method of superposition, each type of load—whether...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Phase unwrapping in digital holographic interferometry via physics-informed convolutional-Fourier neural network.

Optics express·2026

Same author

Data of a triboelectric energy harvester in low frequency environment and its potential as a power source in a wireless sensor node.

Data in brief·2026

Same author

Methodological considerations in microbiome studies of chronic pelvic pain (reply to letter to the editor).

American journal of obstetrics and gynecology·2025

Same author

A Bradyrhizobium isolate from a marine diatom induces nitrogen-fixing nodules in a terrestrial legume.

Nature microbiology·2025

Same author

Gut, vaginal, and urinary microbiota as potential biomarkers of sensitization in women with chronic pelvic pain.

American journal of obstetrics and gynecology·2025

Same author

Acoustic emission monitoring of damage modes in reinforced concrete beams by using narrow partial power bands.

Scientific reports·2024

Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026

Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026

Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026

Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026

Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026

Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 30, 2025

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Published on: April 20, 2016

Damage Localization on Composite Structures Based on the Delay-and-Sum Algorithm Using Simulation and Experimental

Cedric Bertolt Nzouatchoua^1,2,3, Mourad Bentahar¹, Silvio Montresor¹

¹Laboratoire d'Acoustique de l'Université du Mans (LAUM), UMR CNRS 6613, Institut d'Acoustique-Graduate School (IA-GS), CNRS, Le Mans Université, 72085 Le Mans, France.

Sensors (Basel, Switzerland)

|May 13, 2023

Summary

This summary is machine-generated.

This study improves structural health monitoring by developing new methods to create baseline signals for ultrasonic guided wave damage detection in composite materials. These techniques enhance the accuracy of locating damage in anisotropic structures.

Keywords:

Lamb waves PZT network anisotropic composite structures delay-and-sum impact damage structural health monitoring

More Related Videos

Shrinkage of Dental Composite in Simulated Cavity Measured with Digital Image Correlation

Shrinkage of Dental Composite in Simulated Cavity Measured with Digital Image Correlation

Published on: July 21, 2014

Fabrication and Characterization of Disordered Polymer Optical Fibers for Transverse Anderson Localization of Light

Fabrication and Characterization of Disordered Polymer Optical Fibers for Transverse Anderson Localization of Light

Published on: July 29, 2013

Related Experiment Videos

Last Updated: Jul 30, 2025

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Published on: April 20, 2016

Shrinkage of Dental Composite in Simulated Cavity Measured with Digital Image Correlation

Shrinkage of Dental Composite in Simulated Cavity Measured with Digital Image Correlation

Published on: July 21, 2014

Fabrication and Characterization of Disordered Polymer Optical Fibers for Transverse Anderson Localization of Light

Fabrication and Characterization of Disordered Polymer Optical Fibers for Transverse Anderson Localization of Light

Published on: July 29, 2013

Area of Science:

Materials Science
Mechanical Engineering
Nondestructive Testing

Background:

Ultrasonic guided waves are effective for structural health monitoring (SHM) and nondestructive testing (NDT).
Accurate damage detection in composite structures using piezoelectric sensor networks is challenged by material anisotropy and the need for reliable baseline signals.
Existing signal processing methods suffer performance degradation due to insufficient information on anisotropy and baseline signals.

Purpose of the Study:

To propose and evaluate novel methods for constructing baseline signals in various composite materials.
To overcome the limitations of existing signal processing techniques in damage localization and imaging.
To improve the performance of SHM and NDT in anisotropic composite structures.

Main Methods:

Baseline signals generated using numerical simulation models with pre-determined elasticity tensors.
Utilizing a secondary piezoelectric transducer (PZT) network to capture Lamb wave signals propagating in multiple directions.
Waveform translation based on a simplified theoretical model for Lamb wave propagation in homogeneous media.
Application of the delay-and-sum imaging algorithm.

Main Results:

Successful construction of baseline signals for different composite types (transversely isotropic, unidirectional, quasi-transversely isotropic).
Generation of satisfactory damage images that accurately represent damaged areas.
Demonstration of improved imaging performance compared to methods lacking accurate baseline data.

Conclusions:

The developed methods effectively address the challenges of anisotropy and baseline signal acquisition in composite SHM.
Accurate baseline signal construction is crucial for enhancing the performance of guided wave-based damage detection techniques.
The proposed approach offers a viable solution for reliable damage localization and imaging in complex composite structures.